AutoGen Guide 2025: Microsoft's Multi-Agent AI Framework

# AutoGen AgentChat (recommended starting point)
pip install autogen-agentchat

# With OpenAI support
pip install autogen-agentchat autogen-ext[openai]

# With Anthropic Claude support
pip install autogen-agentchat autogen-ext[anthropic]

# AutoGen Studio (visual builder)
pip install autogenstudio
autogenstudio ui --port 8081

from autogen import AssistantAgent, UserProxyAgent

# LLM configuration
llm_config = {
    "model": "gpt-4o",
    "api_key": "your_openai_key",
}

# 1. Assistant — the LLM that writes code and plans
assistant = AssistantAgent(
    name="Coder",
    llm_config=llm_config,
    system_message="You are an expert Python developer. Write clean, commented code.",
)

# 2. UserProxy — executes the code, reports results back
user_proxy = UserProxyAgent(
    name="Executor",
    human_input_mode="NEVER",      # fully autonomous
    code_execution_config={
        "work_dir": "coding_workspace",
        "use_docker": False,       # set True for sandboxed execution
    },
    max_consecutive_auto_reply=10,
    is_termination_msg=lambda x: "TERMINATE" in x.get("content", ""),
)

# 3. Start the conversation — agents iterate until task is done
user_proxy.initiate_chat(
    assistant,
    message="Write and run a Python script that fetches the top 5 Hacker News stories and prints their titles.",
)